Adhesion GPCR Function in Pulmonary Development and Disease

Ludwig, Marie-Gabrielle; Seuwen, Klaus; Bridges, James P.

doi:10.1007/978-3-319-41523-9_14

Cited by 13 publications

(9 citation statements)

References 57 publications

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“…Full-length ADGRF1 was reported to be activated by synaptamide, a metabolite of the omega-3 fatty acid docosahexaenoic acid in brain tissue (77). Mice lacking ADGRF5 and surfactant protein D phenocopy each other in lung tissue and it has been found that surfactant protein D can interact the with ectodomain of F5 (78). However, as for many of the interactions described in this section, it is not yet clear what effect this interaction may have on G protein signaling or other signaling downstream of F5 (79).…”

Section: Adhesion Gpcr Ligandsmentioning

confidence: 99%

Adhesion G Protein–Coupled Receptors as Drug Targets

Purcell

Hall²

2018

Annu. Rev. Pharmacol. Toxicol.

114

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The adhesion G protein-coupled receptors (aGPCRs) are an evolutionarily ancient family of receptors that play key roles in many different physiological processes. These receptors are notable for their exceptionally long ectodomains, which span several hundred to several thousand amino acids and contain various adhesion-related domains, as well as a GPCR autoproteolysis-inducing (GAIN) domain. The GAIN domain is conserved throughout almost the entire family and undergoes autoproteolysis to cleave the receptors into two noncovalently-associated protomers. Recent studies have revealed that the signaling activity of aGPCRs is largely determined by changes in the interactions among these protomers. We review recent advances in understanding aGPCR activation mechanisms and discuss the physiological roles and pharmacological properties of aGPCRs, with an eye toward the potential utility of these receptors as drug targets.

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Section: Adhesion Gpcr Ligandsmentioning

confidence: 99%

Adhesion G Protein–Coupled Receptors as Drug Targets

Purcell

Hall²

2018

Annu. Rev. Pharmacol. Toxicol.

114

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“…Since both Gnaq and Gna11 are expressed in mouse AT2 cells (45) and demonstrate functional redundancy in several tissues (46, 47), we employed a strategy to delete Gnaq and Gna11 in mouse AT2 cells using the SftpcCreER driver. SftpcCreER-specific deletion of Gnaq on a Gna11-deficient background resulted in a 9-fold increase in alveolar surfactant pools ( Figure 6E), consistent with the pulmonary phenotype in ShhCre:Gpr116…”

Section: Gpr116mentioning

confidence: 99%

Epithelial Gpr116 regulates pulmonary alveolar homeostasis via Gq/11 signaling

et al. 2017

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“…The reader can see that among the extracted features the ADGRF5 gene with Ensembl ID ENSG00000069122.17 is the one that occurs most in the classification rules. Previous studies have already shown that mutations within this gene are possible causes of lung cancer (LUSC) [ 42 ]. Similarly, many other genes extracted from the classification rules of LUSC are listed in several publications that concern this tumor [ 43 ].…”

Section: Resultsmentioning

confidence: 99%

CamurWeb: a classification software and a large knowledge base for gene expression data of cancer

et al. 2018

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BackgroundThe high growth of Next Generation Sequencing data currently demands new knowledge extraction methods. In particular, the RNA sequencing gene expression experimental technique stands out for case-control studies on cancer, which can be addressed with supervised machine learning techniques able to extract human interpretable models composed of genes, and their relation to the investigated disease. State of the art rule-based classifiers are designed to extract a single classification model, possibly composed of few relevant genes. Conversely, we aim to create a large knowledge base composed of many rule-based models, and thus determine which genes could be potentially involved in the analyzed tumor. This comprehensive and open access knowledge base is required to disseminate novel insights about cancer.ResultsWe propose CamurWeb, a new method and web-based software that is able to extract multiple and equivalent classification models in form of logic formulas (“if then” rules) and to create a knowledge base of these rules that can be queried and analyzed. The method is based on an iterative classification procedure and an adaptive feature elimination technique that enables the computation of many rule-based models related to the cancer under study. Additionally, CamurWeb includes a user friendly interface for running the software, querying the results, and managing the performed experiments. The user can create her profile, upload her gene expression data, run the classification analyses, and interpret the results with predefined queries. In order to validate the software we apply it to all public available RNA sequencing datasets from The Cancer Genome Atlas database obtaining a large open access knowledge base about cancer. CamurWeb is available at http://bioinformatics.iasi.cnr.it/camurweb.ConclusionsThe experiments prove the validity of CamurWeb, obtaining many classification models and thus several genes that are associated to 21 different cancer types. Finally, the comprehensive knowledge base about cancer and the software tool are released online; interested researchers have free access to them for further studies and to design biological experiments in cancer research.

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Adhesion GPCR Function in Pulmonary Development and Disease

Cited by 13 publications

References 57 publications

Adhesion G Protein–Coupled Receptors as Drug Targets

Adhesion G Protein–Coupled Receptors as Drug Targets

Epithelial Gpr116 regulates pulmonary alveolar homeostasis via Gq/11 signaling

CamurWeb: a classification software and a large knowledge base for gene expression data of cancer

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